Results 101 to 110 of about 8,705 (267)
Influence of Carbon Nanoparticles on Electrically Induced Wear of Grease‐Lubricated Steels
When an electric current enters a pair of rubbing surfaces, enormous damage takes place. In this research, how such damage occurs in the presence of protective grease and the mitigation with added carbon nanoparticles, were investigated. It was discovered that those particles regulate transport and interfacial electrical stability of the grease ...
Mohammad Humaun Kabir +6 more
wiley +1 more source
Fault Diagnosis Method for Rolling Bearing based on Least Squares Mapping and SVM
Aiming at the problem of extraction difficulty of early non-stationary weak fault signal feature,low resolution of characteristic parameter,early fault diagnosis difficult exist in the rolling bearing fault diagnosis,a fault diagnosis method based on ...
Zhao Yu, Li Ke, Su Lei, Chen Peng
doaj
Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee +3 more
wiley +1 more source
Aiming at the fault diagnosis problem of rolling bearing,a fault diagnosis method of rolling bearing based on local characteristic-scale decomposition(LCD) cross approximate entropy(CAE) and relevance vector machine(RVM) is proposed.
Tan Jingjing, Gao Feng, Zhang Qiantu
doaj
Solid‐state nanopores are used to interrogate dendrimer‐peptide conjugates with systematically varied peptide loading. Single‐particle ionic current signatures reveal how ligand density modulates deformability, transport pathways, and electromechanical coupling during translocation.
Chaoming Gu +7 more
wiley +1 more source
Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM
Aiming at the non- stationary feature of the rolling bearing vibration signal and the fault samples are always in a small number in its fault diagnosis,a rolling bearing fault diagnosis method based on improved Hilbert- Huang transform energy entropy and
Zhou Xiaolong, Jiang Zhenhai, Ma Fenglei
doaj
BEARING-FDD: An early detection and diagnosis tool for bearing faults in rotating machinery
This paper presents the design and implementation of a web tool offering an innovative method for detecting, diagnosing and classifying bearing faults in rotating machinery under limited data conditions, providing explainability and interpretability of the results obtained. The tool uses a machine learning model to detect and diagnose bearing faults. A
Luis Magadán +5 more
openaire +2 more sources
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino +7 more
wiley +1 more source
Bearing condition monitoring and fault diagnosis
Bibliography: p. 122-133.
openaire +2 more sources
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source

